Migrating Data from EC2 to RDS and RDS to Redshift

A Digital Marketing Organization

Client

A digital marketing organization delivering SaaS-based solutions to its customers.

Challenge

The company faced three critical data infrastructure challenges that were impacting their operational efficiency and business growth:

  • Decentralized Data Architecture: The company hosted its multi-tenant SaaS applications across approximately 20 EC2 instances running on the AWS Cloud platform. Each EC2 instance contained both applications and MariaDB databases, creating a fragmented data landscape that hindered centralized data management and increased operational complexity.
  • Security and Data Recovery Concerns: The client expressed significant concerns about DDoS attacks and data recovery capabilities, recognizing the need for robust disaster recovery mechanisms to protect their business-critical data and ensure continuity of their SaaS operations.
  • Performance Bottlenecks in Analytics: The company's data reporting and analytics queries were running directly on the MariaDB databases hosted on EC2 instances, which significantly slowed down application performance. This architecture limitation was hampering their ability to deliver real-time insights and maintain optimal application response times for their customers.

Key Results

  • Reduced data consolidation time from 12 hours to 3 hours, an improvement of 75%.
  • Increased data processing speed, handling 50 gigabytes of data within 3 hours of receipt.
  • Improved dashboard response time to 250-500 milliseconds for any filter combination.
  • Achieved 100% compliance with cloud security standards and data encryption requirements.

Solution

We implemented a comprehensive two-phase data migration and optimization strategy to address all client challenges:

Phase 1: Data Centralization Arocom Solutions created an Aurora MySQL cluster on Amazon RDS to serve as the centralized data repository. The migration of data from all 20 EC2 instances to the centralized RDS was executed using AWS Database Migration Service (DMS), ensuring minimal downtime and data integrity throughout the process.

Phase 2: Security and Recovery Enhancement To mitigate DDoS attack risks and establish robust data recovery capabilities, Arocom Solutions implemented AWS Backup and Recovery services. This solution provided automated backups of the RDS database with configurable retention policies and enabled quick disaster recovery procedures in case of system failures or security incidents.

Technologies Used
  • Aurora MySQL
  • AWS Database Migration Service (DMS)
  • AWS Backup and Recovery
  • Amazon Redshift
  • Terraform
  • MariaDB
  • Amazon EC2
  • Amazon RDS
Summary

We delivered an AI-powered dermatological analysis PoC that combined YOLO-based lesion detection and VGG16-based classification in a scalable AWS environment.

The solution automated the entire lifecycle — from manual annotation to real-time inference — demonstrating the technical feasibility of AI-driven lesion detection and classification at scale.

This PoC establishes a strong foundation for future expansion into a production-grade, clinically validated dermatology AI platform, with potential for model refinement, retraining, and compliance-ready deployment.

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